A Feed forward Neural Network MPPT Control Strategy Applied to a Modified Cuk Converter

This paper presents an intelligent control strategy that uses a feedforward artificial neural network in order to improve the performance of the MPPT (Maximum Power Point Tracker) MPPT photovoltaic (PV) power system based on a modified Cuk converter. The proposed neural network control (NNC) strategy is designed to produce regulated variable DC output voltage. The mathematical model of Cuk converter and artificial neural network algorithm is derived. Cuk converter has some advantages compared to other type of converters. However the nonlinearity characteristic of the Cuk converter due to the switching technique is difficult to be handled by conventional controller. To overcome this problem, a neural network controller with online learning back propagation algorithm is developed. The NNC designed tracked the converter voltage output and improve the dynamic performance regardless load disturbances and supply variations. The proposed controller effectiveness during dynamic transient response is then analyze and verified using MATLAB-Simulink. Simulation results confirm the excellent performance of the proposed NNC

Učinkoviti optimalni regulator uzlaznog DC/DC pretvarača za sustav fotonaponskih ćelija za praćenje točke maksimalne snage temeljen na umjetnim neuronskim mrežama

In this paper, a simulation study of the maximum power point tracking (MPPT) for a photovoltaic system using an artificial neural network is presented. Maximum power point tracking (MPPT) plays an important role in photovoltaic systems because it maximizes the power output from a PV solar system for all temperature and irradiation conditions, and therefore maximizes the power efficiency. Since the maximum power point (MPP) varies, based on the PV irradiation and temperature, appropriate algorithms must be utilized to track it in order maintain the optimal operation of the system. The software Matlab/Simulink is used to develop the model of PV solar system MPPT controller. The system simulation is elaborated by combining the models established of solar PV module and a DC/DC Boost converter. The system is studied using various irradiance shading conditions. Simulation results show that the photovoltaic simulation system tracks optimally the maximum power point even under severe disturbances conditions.U ovom je radu prikazana simulacijska studija postupka traženja točke maksimalne snage za sustav fotonaponski ćelija korištenjem umjetne neuronske mreže. Traženje točke maksimalne snage važno je za sustave fotonaponskih ćelija zato što maksimizira izlaznu snagu fotonaponskih ćelija za sve temperature i osunčanosti te na taj način maksimizira učinkovitost. Točka maksimalne snage varira s promjenom osunčanosti i temperature te je potrebno koristiti prikladne algoritme za praćenje kako bi se osiguralo optimalno funkcioniranje sustava. Za razvoj modela regulatora za praćenje točke maksimalne snage, koji upravlja sustavom fotonaponskih čelija, koristio se Matlab/Simulink. Simulacija je provedena kombinacijom modela modula solarnih fotonaponskih ćelija i DC/DC uzlaznog pretvarača. Sustav se promatrao tijekom različitih uvjeta osunčanosti i zasjenjenosti. Simulacijski rezultati pokazuju da simulacijski sustav fotonaponskih ćelija optimalno prati točku maksimalne snage i u uvjetima većih poremećaja

Improvement of the linear quadratic regulator control applied to a DC-DC boost converter driving a permanent magnet direct current motor

This article discusses a new robust control technique that enables the DC-DC boost converter driving a permanent magnet direct current (PMDC) motor to operate in high static and dynamic performances. The new technique is based on the design of a both linear quadratic regulator (LQR) and linear quadratic regulator-proportional integral (LQR-PI) type controllers, which have the advantage of eliminating oscillations, overshoots and fluctuations on different characteristics in steady-state system operation. In order to increase the output voltage, the LQR regulator is combined with a first-order system represented in the form of a closed-loop transfer function, the latter raising the output voltage to 24 volts, this voltage is enough to drive the permanent magnet direct current motor. The contribution of this paper is the creation of a robust control system represented in the form of a hybrid corrector able to regulate steady-state and transient disturbances and oscillations as well as to increase DC-DC boost converter output voltage for the PMDC motor to operate at rated voltage. The results of the three control techniques are validated by MATLAB Simulink

Élimination des artefacts pour un codage JPEG optimisé

Dans notre travail, nous avons traité le problème des effets de blocs qui apparaissent sur l'image reconstruite dans le cas d'une compression JPEG, en particulier à très bas débits. L'originalité consiste à appliquer une opération de lissage non linéaire sur l'image reconstruite basée sur les statistiques de l'image et d'utiliser un codeur JPEG permettant d'optimiser le compromis débit/distorsion avec un contrôle du débit. Les résultats de simulation montrent une amélioration au niveau de la qualité en terme de PSNR de l'ordre (0.2-0.8 dB) par rapport au même algorithme de compression sans lissage et une réduction importante des effets de blocs du point de vue visuel

LEÓN, JOSÉ CLAUDIO DE Y SRA. [Material gráfico]

Copia digital. Madrid : Ministerio de Educación, Cultura y Deporte, 201

EPIdemiology of Surgery-Associated Acute Kidney Injury (EPIS-AKI) : Study protocol for a multicentre, observational trial

More than 300 million surgical procedures are performed each year. Acute kidney injury (AKI) is a common complication after major surgery and is associated with adverse short-term and long-term outcomes. However, there is a large variation in the incidence of reported AKI rates. The establishment of an accurate epidemiology of surgery-associated AKI is important for healthcare policy, quality initiatives, clinical trials, as well as for improving guidelines. The objective of the Epidemiology of Surgery-associated Acute Kidney Injury (EPIS-AKI) trial is to prospectively evaluate the epidemiology of AKI after major surgery using the latest Kidney Disease: Improving Global Outcomes (KDIGO) consensus definition of AKI. EPIS-AKI is an international prospective, observational, multicentre cohort study including 10 000 patients undergoing major surgery who are subsequently admitted to the ICU or a similar high dependency unit. The primary endpoint is the incidence of AKI within 72 hours after surgery according to the KDIGO criteria. Secondary endpoints include use of renal replacement therapy (RRT), mortality during ICU and hospital stay, length of ICU and hospital stay and major adverse kidney events (combined endpoint consisting of persistent renal dysfunction, RRT and mortality) at day 90. Further, we will evaluate preoperative and intraoperative risk factors affecting the incidence of postoperative AKI. In an add-on analysis, we will assess urinary biomarkers for early detection of AKI. EPIS-AKI has been approved by the leading Ethics Committee of the Medical Council North Rhine-Westphalia, of the Westphalian Wilhelms-University Münster and the corresponding Ethics Committee at each participating site. Results will be disseminated widely and published in peer-reviewed journals, presented at conferences and used to design further AKI-related trials. Trial registration number NCT04165369

Optimization Safety Factors to Study an Ultrasonic Motor

In this paper, we present a new method based on Optimal Safety Factors (OSF) in the context of the Reliability-Based Design Optimization (RBDO) analysis of ultrasonic motors with traveling wave taking into account the contact between the different components (stator and rotor). We will underline also the different methods of the RBDO analysis and we highlight the advantage of our approach based on OSF. Numerical results are given to illustrate the proposed method